Repository Index

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

• reinforcement-learning
• unity3d
• deep-learning
• unity

FinRL®: Financial Reinforcement Learning. 🔥

• deep-reinforcement-learning
• drl-trading-agents
• stock-trading
• drl-algorithms

An elegant PyTorch deep reinforcement learning library.

• pytorch
• policy-gradient
• dqn
• double-dqn

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

• ai
• deep-reinforcement-learning
• wpa-psk
• handshakes

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

• tensorlayer
• deep-learning
• tensorflow
• neural-network

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning

A library of reinforcement learning components and agents

• reinforcement-learning
• agents
• research

Tensorforce: a TensorFlow library for applied reinforcement learning

• reinforcement-learning
• tensorflow
• deep-reinforcement-learning
• tensorflow-library

TensorFlow Reinforcement Learning

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Reinforcement Learning environments based on the 1993 game Doom :godmode:

• deep-learning
• reinforcement-learning
• python
• vizdoom

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

The original code from the DeepMind article + my tweaks

An offline deep reinforcement learning library

• deep-reinforcement-learning
• deep-learning
• pytorch
• offline-rl

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

• reinforcement-learning
• supervised-learning
• stock-data
• trading

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

• reinforcement-learning
• python
• deep-learning
• gym

Scalable, event-driven, deep-learning-friendly backtesting library

• reinforcement-learning
• deep-reinforcement-learning
• gym-environment
• openai-gym

Gibson Environments: Real-World Perception for Embodied Agents

• computer-vision
• robotics
• simulator
• sim2real

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

• deepmind-control-suite
• deepmind-lab
• gymnasium
• reinforcement-learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

• tensorflow
• ros
• deep-reinforcement-learning
• collision-avoidance

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind